Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

被引:35519
作者
Harris, Paul A. [1 ]
Taylor, Robert [2 ]
Thielke, Robert [4 ]
Payne, Jonathon [3 ]
Gonzalez, Nathaniel [5 ]
Conde, Jose G. [5 ]
机构
[1] Vanderbilt Univ, Dept Biomed Informat, Nashville, TN 37212 USA
[2] Vanderbilt Univ, Off Res Informat, Nashville, TN 37212 USA
[3] Vanderbilt Univ, Nashville, TN 37232 USA
[4] Med Coll Wisconsin, Gen Clin Res Ctr, Milwaukee, WI 53226 USA
[5] Univ Puerto Rico, Ctr Informat Architecture Res, San Juan, PR 00936 USA
关键词
Medical informatics; Electronic data capture; Clinical research; Translational research;
D O I
10.1016/j.jbi.2008.08.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on. the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:377 / 381
页数:5
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